I am trying to find an appropriate goodness-of-fit test for proc surveylogistic procedure. Could you please help me with that? Thanks!
No, those statistics I mentioned are all likelihood based which would not include any adjustments to the variance for the sampling.
Currently, the only available goodness-of-fit tests in PROC SURVEYLOGISTIC are found in the default output in the Model Fit Statistics and "Testing Global Null Hypothesis: BETA=0" tables. This is really a limitation with logit models in general on complex survey data in that there are not a lot of measures that can be used to assess fit that are defined. The Hosmer-Lemeshow test, for example, has been shown to be inappropriate in complex sample designs. This is discussed in the following reference
http://www.amstat.org/sections/srms/proceedings/papers/1997_026.pdf
Thank you for your reply. I tried clicking on the link for the reference and was redirected to this website: http://www.amstat.org/ASA/Membership/Sections-and-Interest-Groups.aspx
Is there another way to get this paper? Maybe it requires subscription to Amstat to access the paper. Thanks!
Looks liek the link has changed...try this one instead
http://ww2.amstat.org/sections/srms/Proceedings/papers/1997_026.pdf
Are the statistics reported in the default output for model fitness adjusted to account for complex sample surveys? Would really appreciate that information.
Thanks!
No, those statistics I mentioned are all likelihood based which would not include any adjustments to the variance for the sampling.
Don't miss out on SAS Innovate - Register now for the FREE Livestream!
Can't make it to Vegas? No problem! Watch our general sessions LIVE or on-demand starting April 17th. Hear from SAS execs, best-selling author Adam Grant, Hot Ones host Sean Evans, top tech journalist Kara Swisher, AI expert Cassie Kozyrkov, and the mind-blowing dance crew iLuminate! Plus, get access to over 20 breakout sessions.
ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.
Find more tutorials on the SAS Users YouTube channel.